Systems and Methods for an Intelligent Sourcing Engine for Study Participants

2. The method of claim 1, wherein the business rules are received from a client for which the study is being performed.

3. The method of claim 1, wherein the business rules are extrapolated from a service contract with a client for which the study is being performed.

4. The method of claim 1, wherein the business rules are generated based on the monitored outcomes of sourcing of previous studies.

5. The method of claim 1, further comprising filtering the plurality of panel sources based upon a minimum quality threshold.

6. The method of claim 5, wherein a quality metric for each panel source is generated by prior participation in studies responsive to timing of study tasks, red herring questions, answer consistency and answer patterns.

7. The method of claim 1, wherein the determining the available number of participants in each panel source includes determining the potential participants that have the required participant attributes.

8. The method of claim 7, wherein the determining the potential participants that have the required participant attributes includes filtering the potential participants for targetable attributes that are known, estimating not known targetable attributes by demographic frequency and known attribute correlation, and predicting non-targetable attributes using statistical sampling.

9. The method of claim 1, further comprising throwing a rate of invitations to the subset of panel sources for the participants based upon a rate of participation compared against an estimate of participation rate.

11. The system of claim 10, wherein the business rules are received from a client for which the study is being performed.

12. The system of claim 10, wherein the business rules are extrapolated from a service contract with a client for which the study is being performed.

13. The system of claim 10, wherein the business rules are generated based on the monitored outcomes of sourcing of previous studies.

14. The system of claim 10, wherein the selection server further filters the plurality of panel sources based upon a minimum quality threshold.

15. The system of claim 14, wherein a quality metric for each panel source is generated by prior participation in studies responsive to timing of study tasks, red herring questions, answer consistency and answer patterns.

16. The system of claim 10, wherein the determining the available number of participants in each panel source includes determining the potential participants that have the required participant attributes.

17. The system of claim 16, wherein the determining the potential participants that have the required participant attributes includes filtering the potential participants for targetable attributes that are known, estimating not known targetable attributes by demographic frequency and known attribute correlation, and predicting non-targetable attributes using statistical sampling.

18. The system of claim 10, wherein the selection server throttles a rate of invitations to the subset of panel sources for the participants based upon a rate of participation compared against an estimate of participation rate.